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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
Published on: January 13, 2016
Analysis of host responses to microbial infection using gene expression profiling
1University of California, San Diego, Laboratory of Mucosal Immunology, 9500 Gilman Drive, La Jolla, California 92093-0623, USA. mkagnoff@ucsd.edu
Current Opinion in Microbiology
|May 30, 2001
Summary
Gene expression profiling reveals how host cells respond to microbes. This technique helps identify new genes regulated during infection, advancing our understanding of host-microbe interactions.
Area of Science:
- Microbiology and Molecular Biology
- Genomics and Bioinformatics
Background:
- Gene expression profiling provides insights into host-cell responses to microbial pathogens.
- Current methods include differential display, serial analysis of gene expression (SAGE), cDNA microarrays, and oligonucleotide microarrays.
- These techniques allow for the identification of differentially expressed mRNAs or the assessment of changes in known genes.
Purpose of the Study:
- To explore the utility of gene expression profiling in understanding host-pathogen interactions.
- To highlight the discovery potential of these techniques for identifying novel host responses to infection.
Main Methods:
- Utilizing gene expression profiling techniques such as differential display, SAGE, and microarrays.
- Analyzing changes in messenger RNA (mRNA) expression levels under various experimental conditions.
- Comparing gene expression patterns between infected and uninfected host cells.
Main Results:
- Gene expression profiling offers novel insights into the complex interplay between host cells and microbial pathogens.
- The study identified groups of genes with altered expression during host-microbe interactions.
- New cellular genes regulated by infection were discovered, expanding the understanding of host defense mechanisms.
Conclusions:
- Gene expression profiling is a powerful tool for dissecting host responses to microbial infections.
- This approach facilitates the discovery of previously unrecognized host-pathogen interactions and regulatory pathways.
- Further application of these methods will enhance our comprehension of infectious diseases.
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